• DocumentCode
    3543694
  • Title

    RRAM-based synapse for neuromorphic system with pattern recognition function

  • Author

    Park, Soojin ; Kim, Heonhwan ; Choo, M. ; Noh, Junyong ; Sheri, A. ; Jung, Sanghyuk ; Seo, Kazuyuki ; Park, Jongho ; Kim, Sungho ; Lee, Wei-Jen ; Shin, Jeyong ; Lee, Daewoo ; Choi, GanHo ; Woo, Jiyong ; Cha, Elizabeth ; Jang, Jin ; Park, C. ; Jeon, Moon-G

  • Author_Institution
    Gwangju Inst. of Sci. & Technol. (GIST), Gwangju, South Korea
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Abstract
    Feasibility of a high speed pattern recognition system using 1k-bit cross-point synaptic RRAM array and CMOS-based neuron chip has been experimentally demonstrated. Learning capability of a neuromorphic system comprising RRAM synapses and CMOS neurons has been confirmed experimentally, for the first time.
  • Keywords
    CMOS memory circuits; neural chips; pattern recognition; random-access storage; CMOS-based neuron chip; RRAM-based synapse; cross-point synaptic RRAM array; high speed pattern recognition system; neuromorphic system; pattern recognition function; storage capacity 1 Kbit; Arrays; CMOS integrated circuits; Neuromorphics; Neurons; Semiconductor device modeling; Testing; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electron Devices Meeting (IEDM), 2012 IEEE International
  • Conference_Location
    San Francisco, CA
  • ISSN
    0163-1918
  • Print_ISBN
    978-1-4673-4872-0
  • Electronic_ISBN
    0163-1918
  • Type

    conf

  • DOI
    10.1109/IEDM.2012.6479016
  • Filename
    6479016
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3543694